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<h1>Bibliography<a class="headerlink" href="#bibliography" title="Permalink to this headline">¶</a></h1>
<p id="bibtex-bibliography-bibliography-0"><dl class="citation">
<dt class="label" id="barfootassociating2014"><span class="brackets">BF14</span></dt>
<dd><p>Timothy Barfoot and Paul Furgale. Associating Uncertainty With Three-Dimensional Poses for Use in Estimation Problems. <em>IEEE Transaction on Robotics</em>, 30(3):679–693, 2014.</p>
</dd>
<dt class="label" id="barrauinvariant2017"><span class="brackets">BB17</span></dt>
<dd><p>Axel Barrau and Silvère Bonnabel. The Invariant Extended Kalman Filter as a Stable Observer. <em>IEEE Transactions on Automatic Control</em>, 62(4):1797–1812, 2017.</p>
</dd>
<dt class="label" id="brossardcode2019"><span class="brackets">BBB19</span></dt>
<dd><p>Martin Brossard, Axel Barrau, and Silvère Bonnabel. A Code for Unscented Kalman Filtering on Manifolds (UKF-M). 2019.</p>
</dd>
<dt class="label" id="huanga2013"><span class="brackets">HMR13</span></dt>
<dd><p>G Huang, A Mourikis, and S Roumeliotis. A Quadratic-Complexity Observability-Constrained Unscented Kalman Filter for SLAM. <em>IEEE Transactions on Robotics</em>, 29(5):1226–1243, 2013.</p>
</dd>
<dt class="label" id="huangobservability2010"><span class="brackets">HMR10</span></dt>
<dd><p>Guoquan P. Huang, Anastasios I. Mourikis, and Stergios I. Roumeliotis. Observability-based Rules for Designing Consistent EKF SLAM Estimators. <em>The International Journal of Robotics Research</em>, 29(5):502–528, 2010.</p>
</dd>
<dt class="label" id="kokusing2017"><span class="brackets">KHSchon17</span></dt>
<dd><p>Manon Kok, Jeroen D. Hol, and Thomas B. Schön. Using Inertial Sensors for Position and Orientation Estimation. <em>Foundations and Trends® in Signal Processing</em>, 11(1-2):1–153, 2017.</p>
</dd>
<dt class="label" id="kotaruvariation2019"><span class="brackets">KS19</span></dt>
<dd><p>Prasanth Kotaru and Koushil Sreenath. Variation Based Extended Kalman Filter on S2. In <em>European Control Conference (ECC)</em>, 875–882. IEEE, 2019.</p>
</dd>
<dt class="label" id="sjobergan2019"><span class="brackets">SE19</span></dt>
<dd><p>Alexander Meyer Sjøberg and Olav Egeland. An EKF for Lie Groups with Application to Crane Load Dynamics. <em>Modeling, Identification and Control</em>, 40(2):109–124, 2019.</p>
</dd>
<dt class="label" id="vasconcelosa2010"><span class="brackets">VCSO10</span></dt>
<dd><p>J.F. Vasconcelos, R. Cunha, C. Silvestre, and P. Oliveira. A nonlinear position and attitude observer on SE(3) using landmark measurements. <em>Systems &amp; Control Letters</em>, 59(3):155 – 166, 2010.</p>
</dd>
</dl>
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